Bla bla bla

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## x dplyr::filter() masks stats::filter()
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## 
## Attaching package: 'summarytools'
## The following object is masked from 'package:tibble':
## 
##     view
## Descriptive Statistics  
## cantidades  
## N: 316  
## 
##                     cantidades
## ----------------- ------------
##              Mean       793.07
##           Std.Dev       979.81
##               Min         1.00
##                Q1       142.50
##            Median       477.00
##                Q3      1050.00
##               Max      5917.00
##               MAD       576.73
##               IQR       905.25
##                CV         1.24
##          Skewness         2.36
##       SE.Skewness         0.14
##          Kurtosis         6.41
##           N.Valid       316.00
##         Pct.Valid       100.00

## Descriptive Statistics  
## agrupador$indiceGravedad  
## N: 316  
## 
##                     indiceGravedad
## ----------------- ----------------
##              Mean             0.18
##           Std.Dev             0.03
##               Min             0.05
##                Q1             0.16
##            Median             0.18
##                Q3             0.20
##               Max             0.25
##               MAD             0.03
##               IQR             0.05
##                CV             0.20
##          Skewness            -0.70
##       SE.Skewness             0.14
##          Kurtosis             1.60
##           N.Valid           316.00
##         Pct.Valid           100.00

## # A tibble: 6 x 3
##   BARRIO               TOTAL indiceGravedad
##   <fct>                <int>          <dbl>
## 1 Aguas Frías             88          0.2  
## 2 Aldea Pablo VI          86          0.203
## 3 Alejandría             632          0.114
## 4 Alejandro Echavarría  1032          0.191
## 5 Alfonso López         1170          0.192
## 6 Altamira               779          0.173
## Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBa

## Loading required package: sp
## Please note that rgdal will be retired by the end of 2023,
## plan transition to sf/stars/terra functions using GDAL and PROJ
## at your earliest convenience.
## 
## rgdal: version: 1.5-27, (SVN revision 1148)
## Geospatial Data Abstraction Library extensions to R successfully loaded
## Loaded GDAL runtime: GDAL 3.2.1, released 2020/12/29
## Path to GDAL shared files: C:/Users/lenovo/Documents/R/win-library/4.0/rgdal/gdal
## GDAL binary built with GEOS: TRUE 
## Loaded PROJ runtime: Rel. 7.2.1, January 1st, 2021, [PJ_VERSION: 721]
## Path to PROJ shared files: C:/Users/lenovo/Documents/R/win-library/4.0/rgdal/proj
## PROJ CDN enabled: FALSE
## Linking to sp version:1.4-5
## To mute warnings of possible GDAL/OSR exportToProj4() degradation,
## use options("rgdal_show_exportToProj4_warnings"="none") before loading sp or rgdal.
## Overwritten PROJ_LIB was C:/Users/lenovo/Documents/R/win-library/4.0/rgdal/proj
## OGR data source with driver: ESRI Shapefile 
## Source: "C:\Users\lenovo\Documents\TAE\TAE_Accidentalidad\BD_nueva", layer: "Limite_Barrio_Vereda_Catastral"
## with 348 features
## It has 8 fields